Open-ended coaxial probe measurements for breast cancer detection

M. Kuhn, M. Awida, M. Mahfouz, A. Fathy
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引用次数: 15

Abstract

We have simulated and experimentally tested a coaxial probe measuring system to be used in distinguishing between normal (healthy) breast tissue and cancerous (often malignant) breast tissue. The system employs commercially available components including an Agilent 8363B phase network analyzer (PNA) and an Agilent 85070D dielectric probe. Instead of the Agilent software three material calibration technique, we propose a four material calibration method across the frequency range of 3–17 GHz for more robust measurements of the complex permittivity. Experimental results on human and snake tissues show the non-homogeneous nature of biological tissues and also illuminate the dependence of complex permittivity on tissue temperature. Building upon the differences and also the variation seen in complex permittivity in literature between normal and cancerous breast tissue across this frequency range, we propose a technique which utilizes a neural network where multiple measurements are input in making the final decision on whether or not the tissue under test is cancerous. Simulation results using Ansoft HFSS are provided here and show the potential of microwave diagnosis of breast cancer.
用于乳腺癌检测的开放式同轴探头测量
我们模拟和实验测试了同轴探头测量系统,用于区分正常(健康)乳腺组织和癌(通常是恶性)乳腺组织。该系统采用商用组件,包括Agilent 8363B相位网络分析仪(PNA)和Agilent 85070D介电探针。代替安捷伦软件三种材料校准技术,我们提出了一种在3-17 GHz频率范围内的四种材料校准方法,以更可靠地测量复合介电常数。人体和蛇组织的实验结果显示了生物组织的非均匀性,也阐明了复介电常数与组织温度的关系。基于文献中正常乳腺组织和癌性乳腺组织在这个频率范围内的复介电常数的差异和变化,我们提出了一种利用神经网络的技术,在该技术中,输入多个测量值来最终决定被测组织是否癌变。本文给出了用Ansoft HFSS进行的仿真结果,显示了微波诊断乳腺癌的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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